Deep Learning - Base Credit Card Fraud Detection With Real Time Alerts

The proposed Blockchain-Based Credit Card Fraud Detection and Secure Transaction System using Deep Learning provides an intelligent and secure solution for detecting fraudulent transactions. The Hybrid CNN-LSTM model improves fraud detection accuracy by analyzing customer transaction behavior effectively, while Blockchain technology enhances data security and transparency. Real-time alerts help banks and customers take immediate action against suspicious activities. Therefore, the proposed system can significantly improve digital payment security and reduce financial losses in modern banking systems. The Deep Learning-Based Credit Card Fraud Detection System with Real-Time Alerts provides an efficient solution for detecting fraudulent financial transactions. Deep learning models such as DNN, LSTM, and Autoencoders improve fraud detection accuracy by learning hidden transaction behaviors. The integration of a real-time alert system enhances banking security and helps prevent financial losses. The proposed system is scalable, intelligent, and suitable for modern online banking environments.

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